A real-world problem

The human visual system is incredibly good at locating and analysing
written words in the world around us - which makes it easy for us to
forget what a difficult task this is.

Powered by Foveola

SceneReader's success in tackling this tough real-world
problem lies in its use of the
Foveola shape recognition
technology, a wholly new approach
inspired by Nobel-prizewinning research into the primate visual
system.

SceneReader: Extracting text from images

SceneReader is a new software technology designed to
locate, analyse and report alphanumeric text in a broad
variety of photographic images, including
highly complex images such as street scenes.

SceneReader is supplied as an ANSI-C programming library, which can
be used by your own applications to add text recognition capabilities
like this.

The SceneReader API is simple to use, with only three inputs:

The input image to be analysed

A flat-file dictionary containing a list of allowed words
for recognition (which can contain arbitrarily many entries).

A pluggable "font knowledgebase" used for character recognition.
A powerful, general-purpose font knowledgebase is pre-supplied as standard.

In its simplest configuration, SceneReader requires
no user pre-configuration or training;
it can be immediately applied to your image collection
using the standard font knowledgebase and general-purpose dictionary.